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    PREDICTIVE ROBOTIC CONTROLLER APPARATUS AND METHODS
    2.
    发明申请
    PREDICTIVE ROBOTIC CONTROLLER APPARATUS AND METHODS 有权

    公开(公告)号：US20220212342A1

    公开(公告)日：2022-07-07

    申请号：US17574760

    申请日：2022-01-13

    Applicant: Brain Corporation

    Inventor： Patryk Laurent ,  Jean-Baptiste Passot ,  Oleg Sinyavskiy ,  Filip Ponulak ,  Borja Ibarz Gabardos ,  Eugene Izhikevich

    IPC: B25J9/16 ,  G06N3/00 ,  G06N3/04

    Abstract: Robotic devices may be trained by a user guiding the robot along target action trajectory using an input signal. A robotic device may comprise an adaptive controller configured to generate control signal based on one or more of the user guidance, sensory input, performance measure, and/or other information. Training may comprise a plurality of trials, wherein for a given context the user and the robot's controller may collaborate to develop an association between the context and the target action. Upon developing the association, the adaptive controller may be capable of generating the control signal and/or an action indication prior and/or in lieu of user input. The predictive control functionality attained by the controller may enable autonomous operation of robotic devices obviating a need for continuing user guidance.

    Adaptive predictor apparatus and methods
    3.
    发明授权
    Adaptive predictor apparatus and methods 有权

    公开(公告)号：US10688657B2

    公开(公告)日：2020-06-23

    申请号：US16171635

    申请日：2018-10-26

    Applicant: Brain Corporation

    Inventor： Eugene Izhikevich ,  Oleg Sinyavskiy ,  Jean-Baptiste Passot

    IPC: G06F19/00 ,  B25J9/16 ,  G06N3/00 ,  G06N3/04

    Abstract: Apparatus and methods for training and operating of robotic devices. Robotic controller may comprise a predictor apparatus configured to generate motor control output. The predictor may be operable in accordance with a learning process based on a teaching signal comprising the control output. An adaptive controller block may provide control output that may be combined with the predicted control output. The predictor learning process may be configured to learn the combined control signal. Predictor training may comprise a plurality of trials. During initial trial, the control output may be capable of causing a robot to perform a task. During intermediate trials, individual contributions from the controller block and the predictor may be inadequate for the task. Upon learning, the control knowledge may be transferred to the predictor so as to enable task execution in absence of subsequent inputs from the controller. Control output and/or predictor output may comprise multi-channel signals.

    SYSTEMS AND METHODS FOR ROBOTIC PATH PLANNING
    4.
    发明申请
    SYSTEMS AND METHODS FOR ROBOTIC PATH PLANNING 审中-公开

    公开(公告)号：US20190299410A1

    公开(公告)日：2019-10-03

    申请号：US16376237

    申请日：2019-04-05

    Applicant: BRAIN CORPORATION

    Inventor： Oleg Sinyavskiy ,  Jean-Baptiste Passot ,  Borja Ibarz Gabardos ,  Diana Vu Le

    IPC: B25J9/16 ,  G05D1/02 ,  A47L11/40 ,  A47L11/283 ,  G01C21/00 ,  B25J11/00 ,  G01C21/34 ,  G01C21/32

    Abstract: Systems and methods for robotic path planning are disclosed. In some implementations of the present disclosure, a robot can generate a cost map associated with an environment of the robot. The cost map can comprise a plurality of pixels each corresponding to a location in the environment, where each pixel can have an associated cost. The robot can further generate a plurality of masks having projected path portions for the travel of the robot within the environment, where each mask comprises a plurality of mask pixels that correspond to locations in the environment. The robot can then determine a mask cost associated with each mask based at least in part on the cost map and select a mask based at least in part on the mask cost. Based on the projected path portions within the selected mask, the robot can navigate a space.

    Systems and methods for assisting a robotic apparatus
    5.
    发明授权
    Systems and methods for assisting a robotic apparatus 有权

    公开(公告)号：US10377040B2

    公开(公告)日：2019-08-13

    申请号：US15423442

    申请日：2017-02-02

    Applicant: BRAIN CORPORATION

    Inventor： Oleg Sinyavskiy ,  Jean-Baptiste Passot ,  Borja Ibarz Gabardos ,  Diana Vu Le

    IPC: B25J9/16 ,  G05D1/00 ,  G05D1/02

    Abstract: Systems and methods assisting a robotic apparatus are disclosed. In some exemplary implementations, a robot can encounter situations where the robot cannot proceed and/or does not know with a high degree of certainty it can proceed. Accordingly, the robot can determine that it has encountered an error and/or assist event. In some exemplary implementations, the robot can receive assistance from an operator and/or attempt to resolve the issue itself. In some cases, the robot can be configured to delay actions in order to allow resolution of the error and/or assist event.

    Trainable modular robotic apparatus and methods
    9.
    发明授权
    Trainable modular robotic apparatus and methods 有权
    可训练的模块化机器人装置和方法

    公开(公告)号：US09533413B2

    公开(公告)日：2017-01-03

    申请号：US14209826

    申请日：2014-03-13

    Applicant: Brain Corporation

    Inventor： Eugene Izhikevich ,  Dimitry Fisher ,  Jean-Baptiste Passot ,  Heathcliff Hatcher ,  Vadim Polonichko

    IPC: B25J9/16 ,  G06N99/00 ,  G06N3/00 ,  B25J13/08 ,  A63H3/20 ,  G06N3/04

    CPC classification number: B25J9/163 ,  A63H3/20 ,  B25J9/1694 ,  B25J13/08 ,  G06N3/008 ,  G06N3/049 ,  G06N99/005 ,  Y10S901/02 ,  Y10S901/04 ,  Y10S901/09 ,  Y10S901/50

    Abstract: Apparatus and methods for a modular robotic device with artificial intelligence that is receptive to training controls. In one implementation, modular robotic device architecture may be used to provide all or most high cost components in an autonomy module that is separate from the robotic body. The autonomy module may comprise controller, power, actuators that may be connected to controllable elements of the robotic body. The controller may position limbs of the toy in a target position. A user may utilize haptic training approach in order to enable the robotic toy to perform target action(s). Modular configuration of the disclosure enables users to replace one toy body (e.g., the bear) with another (e.g., a giraffe) while using hardware provided by the autonomy module. Modular architecture may enable users to purchase a single AM for use with multiple robotic bodies, thereby reducing the overall cost of ownership.

    Abstract translation: 具有接受训练控制的人造智能的模块化机器人装置的装置和方法。 在一个实现中，模块化机器人设备架构可以用于在与机器人主体分离的自主模块中提供全部或最高成本的组件。 自主模块可以包括可以连接到机器人身体的可控元件的控制器，电源，致动器。 控制器可将玩具的四肢定位在目标位置。 用户可以利用触觉训练方法，以使机器人玩具能够执行目标动作。 本公开的模块化配置使得用户可以在使用由自主模块提供的硬件的同时，用另一个（例如，长颈鹿）来替换一个玩具体（例如熊）。 模块化架构可以使用户能够购买单个AM以用于多个机器人体，从而降低总拥有成本。

    Trainable modular robotic methods
    10.
    发明授权
    Trainable modular robotic methods 有权
    可训练的模块化机器人方法

    公开(公告)号：US09364950B2

    公开(公告)日：2016-06-14

    申请号：US14209578

    申请日：2014-03-13

    Applicant: Brain Corporation

    Inventor： Eugene Izhikevich ,  Dimitry Fisher ,  Jean-Baptiste Passot ,  Heathcliff Hatcher ,  Vadim Polonichko

    IPC: G05B19/18 ,  B25J9/00 ,  G06N99/00 ,  B25J13/00 ,  B25J9/10 ,  A63H29/22 ,  A63H30/04

    CPC classification number: B25J9/0081 ,  A63H29/22 ,  A63H30/04 ,  B25J9/104 ,  B25J13/00 ,  G06N99/005 ,  Y10T74/20305 ,  Y10T74/20311 ,  Y10T74/20317

    Abstract: Apparatus and methods for a modular robotic device with artificial intelligence that is receptive to training controls. In one implementation, modular robotic device architecture may be used to provide all or most high cost components in an autonomy module that is separate from the robotic body. The autonomy module may comprise controller, power, actuators that may be connected to controllable elements of the robotic body. The controller may position limbs of the toy in a target position. A user may utilize haptic training approach in order to enable the robotic toy to perform target action(s). Modular configuration of the disclosure enables users to replace one toy body (e.g., the bear) with another (e.g., a giraffe) while using hardware provided by the autonomy module. Modular architecture may enable users to purchase a single AM for use with multiple robotic bodies, thereby reducing the overall cost of ownership.

    Abstract translation: 具有接受训练控制的人造智能的模块化机器人装置的装置和方法。 在一个实现中，模块化机器人设备架构可以用于在与机器人主体分离的自主模块中提供全部或最高成本的组件。 自主模块可以包括可以连接到机器人身体的可控元件的控制器，电源，致动器。 控制器可将玩具的四肢定位在目标位置。 用户可以利用触觉训练方法，以使机器人玩具能够执行目标动作。 本公开的模块化配置使得用户可以在使用由自主模块提供的硬件的同时，用另一个（例如，长颈鹿）来替换一个玩具体（例如熊）。 模块化架构可以使用户能够购买单个AM以用于多个机器人体，从而降低总拥有成本。

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